The use of C-Band synthetic aperture radar satellite data for rice plant growth phase identification

Anugrah Indah Lestari and Dony Kushardono (2019) The use of C-Band synthetic aperture radar satellite data for rice plant growth phase identification. International Journal of Remote Sensing and Earth Sciences, 16 (1). pp. 31-44. ISSN 0216-6739

[thumbnail of Jurnal_Anugrah Indah L_Pusfatja_2019.pdf]
Jurnal_Anugrah Indah L_Pusfatja_2019.pdf

Download (1MB) | Preview


Identification of the rice plant growth phase is an important step in estimating the harvest season and predicting rice production. It is undertaken to support the provision of information on national food availability. Indonesia’s high cloud coverage throughout the year means it is not possible to make optimal use of optical remote sensing satellite systems. However, the Synthetic Aperture Radar (SAR) remote sensing satellite system is a promising alternative technology for identifying the rice plant growth phase since it is not influenced by cloud cover and the weather. This study uses multi-temporal C-Band SAR satellite data for the period May–September 2016. VH and VV polarisation were observed to identify the rice plant growth phase of the Ciherang variety, which is commonly planted by farmers in West Java. Development of the rice plant growth phase model was optimized by obtaining samples spatially from a rice paddy block in PT Sang Hyang Seri, Subang, in order to acquire representative radar backscatter values from the SAR data on the age of certain rice plants. The Normalised Difference Polarisation Index (NDPI) and texture features, namely entropy, homogeneity and the Grey-Level Co occurrence Matrix (GLCM) mean, were included as the samples. The results show that the radar backscatter value (σ0) of VH polarisation without the texture feature, with the entropy texture feature and GLCM mean texture feature respectively exhibit similar trends and demonstrate potential for use in identifying and monitoring the rice plant growth phase. The rice plant growth phase model without texture feature on VH polarisation is revealed as the most suitable model since it has the smallest average error.

Item Type: Article
Uncontrolled Keywords: remote sensing satellite; SAR; C-band; texture feature; rice plant growth phase
Subjects: Taksonomi LAPAN > Teknologi Penginderaan Jauh > Penelitian, Pengkajian, dan Pengembangan > Pemanfaatan Penginderaan Jauh
Divisions: LAPAN > Deputi Penginderaan Jauh > Pusat Pemanfaatan Penginderaan jauh
Depositing User: Administrator Repository
Date Deposited: 03 Aug 2021 23:46
Last Modified: 02 Nov 2022 02:46

Actions (login required)

View Item
View Item